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Pytorch Developer Jobs in Ypsilanti, MI (NOW HIRING)

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery ... Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc. * Experience in Li-ion battery ...

Bespoke Labs

Machine Learning Engineer

Ann Arbor, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

PyTorch), with a solid foundation in software engineering practices. * Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components. * Ability to lead ...

Max AI, Inc.

AI Engineer

Ann Arbor, MI

$150K - $250K/yr

And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ... Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers ...

SwiftCruit

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Familiarity with frameworks and tooling such as LangChain, LlamaIndex, Transformers, PyTorch ...

New

May Mobility

Senior Autonomy Engineer

Ann Arbor, MI

$102K - $140K/yr

Develop and maintain developer tooling and infrastructure, including build scripts, test harnesses ... Familiarity with ML/DL frameworks (e.g., PyTorch/TensorFlow) at a basic level. * Exposure to ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... learn, PyTorch. * Take pride in writing clean, reusable, maintainable and well-tested code ... Proficiency in system analysis and design&Consider DevOps and automation as fundamental pillars of ...

FastTek

Machine Learning Engineer

Dearborn, MI

Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch) * Hands-on experience with LLMs, prompt engineering, and Generative AI * Experience working with cloud platforms (GCP and/or AWS)

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI · On-site

... engineers, data scientists, and product teams to integrate models with business workflows. • ... TensorFlow, PyTorch). • Hands-on experience with PySpark for big data processing and model ...

Voiceflow

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$210 - $250/hr

Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data generation, data curation, and model/algorithm evaluations. * Strong programming skills in Python ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
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Pytorch Developer jobs near you

Battery Modeling Engineer

A123 Systems LLC

Novi, MI • Hybrid

Full-time

Re-posted 21 days ago

Job description

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery technologies and energy storage systems. Our solutions serve a wide range of applications, from traditional automotive batteries to utility-scale and commercial amp; industrial (C amp;I) energy storage. Committed to safety, longevity, and energy efficiency, A123 delivers high-performance battery technology solutions with a strong commitment to grow and serve our customers, industry requirements with the goal to make the Air Cleaner.
Position Overview
The Advanced Simulation Technology amp; AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms and optimize the cell design, and developing data-driven AI machine learning models to optimize battery cell manufacturing process. Other responsibilities include conducting cell-, module-, and pack-level life simulation for Li-ion battery systems used in electric vehicles, plug-in hybrid electric vehicles, hybrid electric vehicles, energy storage systems, drone and electric vertical take-off and landing.
Primary Responsibilities
  • Develop physics-based models to identify aging mechanisms and optimize cell design.
  • Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs.
  • Support NBO and regular life simulation activities through global collaboration.
  • Work in a global team and collaborate with cross-functional team colleagues.
  • Communicate findings to external customers in a positive and constructive manner, and establish/maintain technical communications for any open issues.
Specific Skills/Experience
  • Solid knowledge of electrochemical modeling and battery aging.
  • Solid Knowledge of battery chemistry and battery manufacturing.
  • Excellent experience in modeling of electrochemical systems.
  • Solid knowledge of machine learning, data cleaning, cloud computing, etc.
  • Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc.
  • Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc.
  • Experience in Li-ion battery modeling and machine learning in industry is a plus.
  • Strongly self-motivated and willingness to learn new knowledge.
  • 0-2 years industry working experience.
Education
  • Ph.D. degree in Engineering, Physics, Math, Statistics, Analytics, etc.

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